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Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy.

ABSTRACT: Ion channel mutations are an important cause of rare Mendelian disorders affecting brain, heart, and other tissues. We performed parallel exome sequencing of 237 channel genes in a well-characterized human sample, comparing variant profiles of unaffected individuals to those with the most common neuronal excitability disorder, sporadic idiopathic epilepsy. Rare missense variation in known Mendelian disease genes is prevalent in both groups at similar complexity, revealing that even deleterious ion channel mutations confer uncertain risk to an individual depending on the other variants with which they are combined. Our findings indicate that variant discovery via large scale sequencing efforts is only a first step in illuminating the complex allelic architecture underlying personal disease risk. We propose that in silico modeling of channel variation in realistic cell and network models will be crucial to future strategies assessing mutation profile pathogenicity and drug response in individuals with a broad spectrum of excitability disorders.

SUBMITTER: Klassen T

PROVIDER: S-EPMC3131217 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

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Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy.

Klassen Tara T Davis Caleb C Goldman Alica A Burgess Dan D Chen Tim T Wheeler David D McPherson John J Bourquin Traci T Lewis Lora L Villasana Donna D Morgan Margaret M Muzny Donna D Gibbs Richard R Noebels Jeffrey J

Cell 20110601 7

Ion channel mutations are an important cause of rare Mendelian disorders affecting brain, heart, and other tissues. We performed parallel exome sequencing of 237 channel genes in a well-characterized human sample, comparing variant profiles of unaffected individuals to those with the most common neuronal excitability disorder, sporadic idiopathic epilepsy. Rare missense variation in known Mendelian disease genes is prevalent in both groups at similar complexity, revealing that even deleterious i ...[more]

PMID: 21703448

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Project description:ImportanceEpilepsy is the most common neurological disorder of childhood. Identifying genetic diagnoses underlying epilepsy is critical to developing effective therapies and improving outcomes. Most children with non-acquired (unexplained) epilepsy remain genetically unsolved, and the utility of genome sequencing after nondiagnostic exome sequencing is unknown.ObjectiveTo determine the diagnostic (primary) and clinical (secondary) utility of genome sequencing after nondiagnostic exome sequencing in individuals with unexplained pediatric epilepsy.DesignThis cohort study performed genome sequencing and comprehensive analyses for 125 participants and available biological parents enrolled from August 2018 to May 2023, with data analysis through April 2024 and clinical return of diagnostic and likely diagnostic genetic findings. Clinical utility was evaluated.SettingPediatric referral center.ParticipantsParticipants with unexplained pediatric epilepsy and previous nondiagnostic exome sequencing; biological parents when available.ExposuresShort-read genome sequencing and analysis.Main outcomes and measuresPrimary outcome measures were the diagnostic yield of genome sequencing, defined as the percentage of participants receiving a diagnostic or likely diagnostic genetic finding, and the unique diagnostic yield of genome sequencing, defined as the percentage of participants receiving a diagnostic or likely diagnostic genetic finding that required genome sequencing. The secondary outcome measure was clinical utility of genome sequencing, defined as impact on evaluation, treatment, or prognosis for the participant or their family.Results125 participants (58 [46%] female) were enrolled with median age at seizure onset 3 [IQR 1.25, 8] years, including 44 (35%) with developmental and epileptic encephalopathies. The diagnostic yield of genome sequencing was 7.2% (9/125), with diagnostic genetic findings in five cases and likely diagnostic genetic findings in four cases. Among the solved cases, 7/9 (78%) required genome sequencing for variant detection (small copy number variant, three noncoding variants, and three difficult to sequence small coding variants), for a unique diagnostic yield of genome sequencing of 5.6% (7/125). Clinical utility was documented for 4/9 solved cases (44%).Conclusions and relevanceThese findings suggest that genome sequencing can have diagnostic and clinical utility after nondiagnostic exome sequencing and should be considered for patients with unexplained pediatric epilepsy.

Project description:ObjectiveNigeria, along with other Sub-Saharan African countries, bears the highest burden of epilepsy worldwide. This high prevalence is attributed to a combination of factors, including a significant incidence of infectious diseases, perinatal complications, and genetic etiologies. Genetic testing is rarely available and is not typically included in the routine diagnostic work-up for individuals with infantile and childhood epilepsy syndromes in these regions. Exome sequencing (ES) offers a diagnostic yield of 24%-62%, but these figures primarily reflect data from high-income countries (HICs) and may not be applicable to low- and middle-income countries (LMICs). In this study, we employed ES to investigate the genetic basis of early-onset epilepsy in 22 affected children from Nigeria.MethodsThe study involved sampling of patients diagnosed with early-onset epilepsy syndromes at the Lagos State University Teaching Hospital (LASUTH) Neurology clinic. Venous blood samples were collected, and genomic DNA was isolated and purified. Molecular analysis included DNA fragmentation, ligation, target enrichment, library preparation, and whole-exome sequencing. Computational analysis involved variant calling, curation, and classification using specialized tools and databases.ResultsPathogenic variants were identified in 6 out of 22 individuals, equaling a diagnostic yield of 27.3% and comprising variants in BPTF, NAA15, SCN1A, TUBA1A and twice in CACNA1A.SignificanceIn this study, we present the first exome study on early-onset epilepsy syndromes from West Africa, facilitated by a Nigerian-German research collaboration. Our findings reveal a genetic diagnostic yield comparable to that of HICs. The integration of genomic medicine into epilepsy management in Nigeria holds promising prospects for improving patient care and reducing mortality rates.Plain language summaryThis study represents the first published exome findings in Nigerian children with early-onset epilepsy, revealing a genetic diagnosis in 27% of cases. Pathogenic variants were identified in five genes amongst 6 of 22 patients, underscoring the potential of genetic testing to enhance epilepsy management in developing nations like Nigeria.

Project description:ImportanceGenomic advances inform our understanding of epilepsy and can be translated to patients as precision diagnoses that influence clinical treatment, prognosis, and counseling.ObjectiveTo delineate the genetic landscape of pediatric epilepsy and clinical utility of genetic diagnoses for patients with epilepsy.Design, setting, and participantsThis cohort study used phenotypic data from medical records and treating clinicians at a pediatric hospital to identify patients with unexplained pediatric-onset epilepsy. Exome sequencing was performed for 522 patients and available biological parents, and sequencing data were analyzed for single nucleotide variants (SNVs) and copy number variants (CNVs). Variant pathogenicity was assessed, patients were provided with their diagnostic results, and clinical utility was evaluated. Patients were enrolled from August 2018 to October 2021, and data were analyzed through December 2022.ExposuresPhenotypic features associated with diagnostic genetic results.Main outcomes and measuresMain outcomes included diagnostic yield and clinical utility. Diagnostic findings included variants curated as pathogenic, likely pathogenic (PLP), or diagnostic variants of uncertain significance (VUS) with clinical features consistent with the involved gene's associated phenotype. The proportion of the cohort with diagnostic findings, the genes involved, and their clinical utility, defined as impact on clinical treatment, prognosis, or surveillance, are reported.ResultsA total of 522 children (269 [51.5%] male; mean [SD] age at seizure onset, 1.2 [1.4] years) were enrolled, including 142 children (27%) with developmental epileptic encephalopathy and 263 children (50.4%) with intellectual disability. Of these, 100 participants (19.2%) had identifiable genetic explanations for their seizures: 89 participants had SNVs (87 germline, 2 somatic mosaic) involving 69 genes, and 11 participants had CNVs. The likelihood of identifying a genetic diagnosis was highest in patients with intellectual disability (adjusted odds ratio [aOR], 2.44; 95% CI, 1.40-4.26), early onset seizures (aOR, 0.93; 95% CI, 0.88-0.98), and motor impairment (aOR, 2.19; 95% CI 1.34-3.58). Among 43 patients with apparently de novo variants, 2 were subsequently determined to have asymptomatic parents harboring mosaic variants. Of 71 patients who received diagnostic results and were followed clinically, 29 (41%) had documented clinical utility resulting from their genetic diagnoses.Conclusions and relevanceThese findings suggest that pediatric-onset epilepsy is genetically heterogeneous and that some patients with previously unexplained pediatric-onset epilepsy had genetic diagnoses with direct clinical implications.

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Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy.

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Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy.

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